That AI Guy

Use case

AI for e commerce and retail brands, owned outright

Semantic site search, cart recovery, a support chatbot, and catalog automation, built for single brand and dual brand storefronts alike. The search and reasoning run on hardware the brand owns rather than a metered API, so the cost stays flat as traffic grows instead of climbing with every query.

Conversion is the metric. Site search is where it dies

Customers arrive from Google with intent and leave the moment site search returns nothing useful. That single failure point costs more revenue than most merchants realize, and it is the easiest one to fix.

Brands run into the same four bottlenecks. Site search vocabulary mismatch, where a customer searches "blue ceramic vase" and gets nothing because the product is tagged "indigo stoneware vessel." Cart abandonment with no recovery cycle at all. A support inbox flooded with "where is my order," "can I return this," and "do you ship to Canada," answered manually every day. And a product photography backlog, where a shoot delivers fifty new products and the catalog takes a month to catch up.

What it does

Five capabilities that sit on top of Shopify, Square, BigCommerce, or a custom storefront

Search

Semantic site search

Vector retrieval grounded in your own catalog replaces keyword search, so customers find what they mean instead of only what they typed, with typo tolerance and reranking against your actual inventory.

Recovery

Cart abandonment recovery

Triggered email, SMS, and push, with personalized recommendations drawn from a private product store rather than a shared ad network.

Chatbot

Tier one support chatbot

Order status, returns, shipping, and payment questions, cited from your own published policy, with real issues escalated to a human instead of looped in a script.

Storefront

Custom storefront

A hand built storefront on top of your commerce platform when the stock theme cannot deliver the brand experience you need.

Catalog

Catalog automation

Photo shoot uploads go in, the system extracts product attributes and drafts copy, and the owner reviews and publishes, closing the gap between a shoot and a live listing.

Real work, already shipped

Eureka Bath Works runs a dual brand storefront experience across one shared product catalog, a distinct voice for each brand built on the same inventory. We rebuilt the property as a hand coded site with full product and offer schema, brand specific copy on shared product templates, and an image sitemap, plus the answer engine optimization work that helps the niche searches each brand serves actually surface.

One catalog, two governed brand experiences, no duplication of the underlying data: that is the same pattern a federation applies more broadly, letting separate storefronts, separate voices, or separate business units share one owned substrate instead of paying for the same intelligence twice.

E commerce FAQ

Buyer questions, e commerce specific

Will the storefront replace Shopify or Square?

No. The commerce platform stays. We replace or augment the storefront, theme, or specific surfaces such as search, recommendations, or support. Cart, checkout, and inventory stay in the commerce platform.

Will the AI write product copy that hurts SEO?

The AI drafts copy. The owner reviews and approves before anything publishes. Drafts are constrained to truthful claims and the brand's own voice.

What about FTC endorsement and Made in USA rules?

Endorsements, testimonials, and country of origin claims are reviewed against FTC rules before publication. We do not generate fake reviews.

Can the AI turn a social feed into product cards?

Yes, through API integrations and a moderation queue, and the owner reviews each card before it goes live.

What about accessibility compliance for the storefront?

Sites ship targeting WCAG 2.1 AA, with alt text on product images, semantic markup, and an accessibility statement page.

Begin

Should your brand own its AI?

The readiness assessment answers exactly that, for your catalog, your storefront, and your support load, and ends with a real plan.